Leandro Soriano Marcolino

According to our database, Leandro Soriano Marcolino authored at least 73 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Enhancing deep reinforcement learning for scale flexibility in real-time strategy games.

Marcelo Luiz Harry Diniz Lemos, Ronaldo E Silva Vieira, Anderson Rocha Tavares, Leandro Soriano Marcolino, Luiz Chaimowicz

Entertain. Comput., 2025

Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor Attacks.

Ebtisaam Alharbi, Leandro Soriano Marcolino, Qiang Ni, Antonios Gouglidis

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

Multi Objective Quantile Based Reinforcement Learning for Modern Urban Planning.

Lukasz Pelcner, Leandro Soriano Marcolino, Matheus Aparecido do Carmo Alves, Paula A. Harrison, Peter M. Atkinson

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Decision-Making in Evolving Environments: A Bayesian Multi-Agent Bandit Framework.

Mohammad Essa Alsomali, Leandro Soriano Marcolino, Barry Porter, Roberto Rodrigues Filho

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Uncertainty Quantification in Measuring Ore Mass Flow Rate with Data-Driven Soft Sensors.

Francisco José Dos Santos Diniz, Saulo N. Matos, Jó Ueyama, Leandro Soriano Marcolino, Eduardo José da Silva Luz, Gustavo Pessin

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

2024

3DVerifier: efficient robustness verification for 3D point cloud models.

Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni

Mach. Learn., April, 2024

Water level identification with laser sensors, inertial units, and machine learning.

Caetano Mazzoni Ranieri, Angelo V. K. Foletto, Rodrigo Dutra Garcia, Saulo N. Matos, Maria M. G. Medina, Leandro Soriano Marcolino, Jó Ueyama

Eng. Appl. Artif. Intell., January, 2024

Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond.

Ronghui Mu, Leandro Soriano Marcolino, Qiang Ni, Wenjie Ruan

Neural Networks, 2024

Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data.

Abdulrahman Kerim, Leandro Soriano Marcolino, Erickson R. Nascimento, Richard Jiang

CoRR, 2024

Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions.

Abdulrahman Kerim, Washington L. S. Ramos, Leandro Soriano Marcolino, Erickson R. Nascimento, Richard Jiang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Incentive-Driven Multi-agent Reinforcement Learning Approach for Commons Dilemmas in Land-Use.

Lukasz Pelcner, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Paula A. Harrison, Peter M. Atkinson

Proceedings of the PRIMA 2024: Principles and Practice of Multi-Agent Systems, 2024

Multi-armed Bandits for Self-distributing Stateful Services across Networking Infrastructures.

Frederico Meletti Rappa, Roberto Rodrigues Filho, Alison R. Panisson, Leandro Soriano Marcolino, Luiz F. Bittencourt

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

An Online Incremental Learning Approach for Configuring Multi-arm Bandits Algorithms.

Mohammad Essa Alsomali, Roberto Rodrigues Filho, Leandro Soriano Marcolino, Barry Porter

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments.

Lukasz Pelcner, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Paula A. Harrison, Peter M. Atkinson

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

It Is Among Us: Identifying Adversaries in Ad-hoc Domains using Q-valued Bayesian Estimations.

Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Reward Certification for Policy Smoothed Reinforcement Learning.

Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Congestion control algorithms for robotic swarms with a common target based on the throughput of the target area.

Yuri Tavares dos Passos, Xavier Duquesne, Leandro Soriano Marcolino

Robotics Auton. Syst., 2023

Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement Learning Method.

Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Victor Moura, Keller Oliveira, Leandro Soriano Marcolino, Erickson R. Nascimento

IEEE Trans. Pattern Anal. Mach. Intell., 2023

The Aesthetics of Disharmony: Harnessing Sounds and Images for Dynamic Soundscapes Generation.

Mário Escarce Junior, Georgia Rossmann Martins, Leandro Soriano Marcolino, Elisa Rubegni

Proc. ACM Hum. Comput. Interact., 2023

Scale-Invariant Reinforcement Learning in Real-Time Strategy Games.

Marcelo Luiz Harry Diniz Lemos, Ronaldo E Silva Vieira, Anderson Rocha Tavares, Leandro Soriano Marcolino, Luiz Chaimowicz

Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment, 2023

Information-guided Planning: An Online Approach for Partially Observable Problems.

Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Federated Learning Method Against Data and Model Poisoning Attacks with Heterogeneous Data Distribution.

Ebtisaam Alharbi, Leandro Soriano Marcolino, Antonios Gouglidis, Qiang Ni

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork.

Matheus Aparecido do Carmo Alves, Elnaz Shafipour Yourdshahi, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning.

Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On the throughput of the common target area for robotic swarm strategies - extended version.

Yuri Tavares dos Passos, Xavier Duquesne, Leandro Soriano Marcolino

CoRR, 2022

Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach.

Abdulrahman Kerim, Felipe C. Chamone, Washington L. S. Ramos, Leandro Soriano Marcolino, Erickson R. Nascimento, Richard Jiang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning.

Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

A Meta-interactive Compositional Approach that Fosters Musical Emergence through Ludic Expressivity.

Mário Escarce Junior, Georgia Rossmann Martins, Leandro Soriano Marcolino, Elisa Rubegni

Proc. ACM Hum. Comput. Interact., 2021

Sparse Adversarial Video Attacks with Spatial Transformations.

Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Special issue of Teams in Multiagent Systems (TEAMAS): Preface.

Ewa Andrejczuk, Juan M. Alberola, Leandro Soriano Marcolino, Paolo Torroni

Fundam. Informaticae, 2020

The paradox of productivity during quarantine: an agent-based simulation.

Peter Hardy, Leandro Soriano Marcolino, José F. Fontanari

CoRR, 2020

Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data.

Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Leandro Soriano Marcolino, Erickson Rangel do Nascimento

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

On-line Estimators for Ad-hoc Task Allocation.

Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Plamen Angelov

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Real-time Learning and Planning in Environments with Swarms: A Hierarchical and a Parameter-based Simulation Approach.

Lukasz Pelcner, Shaling Li, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Alex Collins

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2018

Towards Evolving Cooperative Mapping for Large-Scale UAV Teams.

Elnaz Shafipour Yourdshahi, Plamen Angelov, Leandro Soriano Marcolino, Georgios Tsianakas

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Algorithms or Actions? A Study in Large-Scale Reinforcement Learning.

Anderson Rocha Tavares, Sivasubramanian Anbalagan, Leandro Soriano Marcolino, Luiz Chaimowicz

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Large Scale Ad-hoc Teamwork.

Elnaz Shafipour Yourdshahi, Thomas Pinder, Gauri Dhawan, Leandro Soriano Marcolino, Plamen Angelov

Proceedings of the IEEE International Conference on Agents, 2018

Please be an Influencer?: Contingency-Aware Influence Maximization.

Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Soriano Marcolino, Milind Tambe

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Avoiding target congestion on the navigation of robotic swarms.

Leandro Soriano Marcolino, Yuri Tavares dos Passos, Álvaro Antônio Fonseca de Souza, Andersoney dos Santos Rodrigues, Luiz Chaimowicz

Auton. Robots, 2017

Every team deserves a second chance: an extended study on predicting team performance.

Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Vaishnavh Nagarajan, Milind Tambe

Auton. Agents Multi Agent Syst., 2017

Bang: A System for Training and Visualization in Multi-agent Team Formation.

Saulo Antunes Silva, Sandro Renato Dias, Leandro Soriano Marcolino

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Emerging Sounds Through Implicit Cooperation: A Novel Model for Dynamic Music Generation.

Mário Escarce Junior, Georgia Rossmann Martins, Leandro Soriano Marcolino, Yuri Tavares dos Passos

Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), 2017

2016

Three fundamental pillars of decision-centered teamwork.

Leandro Soriano Marcolino

PhD thesis, 2016

PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead.

Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael

AI Mag., 2016

Simultaneous Influencing and Mapping Social Networks: (Extended Abstract).

Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Jikan to Kukan: A Hands-On Musical Experience in AI, Games and Art.

Georgia Rossmann Martins, Mário Escarce Junior, Leandro Soriano Marcolino

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Simultaneous Influencing and Mapping for Health Interventions.

Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe

Proceedings of the Expanding the Boundaries of Health Informatics Using AI, 2016

2015

A multi agent systems for design simulation framework: experiments with virtual physical social feedback for architecture.

David Jason Gerber, Evangelos Pantazis, Leandro Soriano Marcolino, Arsalan Heydarian

Proceedings of the Symposium on Simulation for Architecture & Urban Design, 2015

Unleashing the Power of Multi-Agent Voting Teams.

Leandro Soriano Marcolino

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Design Agency - Prototyping Multi-agent Systems in Architecture.

David Jason Gerber, Evangelos Pantazis, Leandro Soriano Marcolino

Proceedings of the Computer-Aided Architectural Design. The Next City - New Technologies and the Future of the Built Environment, 2015

Every Team Deserves a Second Chance: Identifying when Things Go Wrong.

Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Multi-agent Team Formation for Design Problems.

Leandro Soriano Marcolino, Haifeng Xu, David Jason Gerber, Boian Kolev, Samori Price, Evangelos Pantazis, Milind Tambe

Proceedings of the Coordination, Organizations, Institutions, and Normes in Agent Systems XI, 2015

Three Fundamental Pillars of Multi-agent Team Formation.

Leandro Soriano Marcolino, Milind Tambe

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Every Team Deserves a Second Chance: An Interactive 9x9 Go Experience (Demonstration).

Leandro Soriano Marcolino, Vaishnavh Nagarajan, Milind Tambe

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Preventing HIV Spread in Homeless Populations Using PSINET.

Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Every Team Makes Mistakes: An Initial Report on Predicting Failure in Teamwork.

Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe

Proceedings of the Learning for General Competency in Video Games, 2015

Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version).

Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Agents Vote for the Environment: Designing Energy-Efficient Architecture.

Leandro Soriano Marcolino, David Jason Gerber, Boian Kolev, Samori Price, Evangelos Pantazis, Ye Tian, Milind Tambe

Proceedings of the Computational Sustainability, 2015

Multi-Agent Team Formation: Solving Complex Problems by Aggregating Opinions.

Leandro Soriano Marcolino

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Diverse Randomized Agents Vote to Win.

Albert Xin Jiang, Leandro Soriano Marcolino, Ariel D. Procaccia, Tuomas Sandholm, Nisarg Shah, Milind Tambe

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

The Power of Teams that Disagree: Team Formation in Large Action Spaces.

Leandro Soriano Marcolino, Haifeng Xu, Albert Xin Jiang, Milind Tambe, Emma Bowring

Proceedings of the Coordination, Organizations, Institutions, and Norms in Agent Systems X, 2014

Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces.

Leandro Soriano Marcolino, Haifeng Xu, Albert Xin Jiang, Milind Tambe, Emma Bowring

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Aggregating Opinions to Design Energy-Efficient Buildings.

Leandro Soriano Marcolino, Boian Kolev, Samori Price, Sreerag Palangat Veetil, David Jason Gerber, Josef Musil, Milind Tambe

Proceedings of the Multidisciplinary Workshop on Advances in Preference Handling, 2014

2013

Multi-Agent Team Formation: Diversity Beats Strength?

Leandro Soriano Marcolino, Albert Xin Jiang, Milind Tambe

Proceedings of the IJCAI 2013, 2013

A Detailed Analysis of a Multi-agent Diverse Team.

Leandro Soriano Marcolino, Chao Zhang, Albert Xin Jiang, Milind Tambe

Proceedings of the Coordination, Organizations, Institutions, and Norms in Agent Systems IX, 2013

Diversity beats strength?: a hands-on experience with 9x9 go.

Leandro Soriano Marcolino, Douglass Chen, Albert Xin Jiang, Milind Tambe

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2011

Multi-agent Monte Carlo Go.

Leandro Soriano Marcolino, Hitoshi Matsubara

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010

Genome Visualization in Space.

Leandro Soriano Marcolino, Bráulio Roberto Gonçalves Marinho Couto, Marcos Augusto dos Santos

Proceedings of the Advances in Bioinformatics, 2010

2009

Traffic control for a swarm of robots: Avoiding target congestion.

Leandro Soriano Marcolino, Luiz Chaimowicz

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Traffic control for a swarm of robots: Avoiding group conflicts.

Leandro Soriano Marcolino, Luiz Chaimowicz

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

2008

Experiments in the Coordination of Large Groups of Robots.

Leandro Soriano Marcolino, Luiz Chaimowicz

Proceedings of the Advances in Artificial Intelligence, 2008

No robot left behind: Coordination to overcome local minima in swarm navigation.

Leandro Soriano Marcolino, Luiz Chaimowicz

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

A coordination mechanism for swarm navigation: experiments and analysis.

Leandro Soriano Marcolino, Luiz Chaimowicz

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008